The field of optical image processing is undergoing a transformation driven by the rapid development of vision-language models (VLMs). A new review article published in iOptics details how these ...

Overview Python's "ast" module transforms the text of Python source code into an object stream. It's a more powerful way to walk through Python code, analyze its components, and make changes than ...

Background: This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual ...

Python is a programming language that can be used for a wide range of tasks inside and outside of the academic world. It is vastly used for Digital Humanities, collecting and analyzing data in a ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

An Introduction to Programming and Computer Science with Python, second edition is a free, open source textbook available under a CC BY-NC-SA license. Originally developed for UVM’s CS 1210 ...

Abstract: Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries ...

1 School of Computer Science, UPES, Dehradun, India 2 A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland This editorial presented nine research articles ...

Requirements: A Linux (Ubuntu) (Preferred) or Windows Machine with a webcam. Download the image and video files used for the sample codes from the course repository ...

Prerequisite: Introduction to Python for Absolute Beginners or some experience using Python. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...